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Multicriteria Decision-Making to Determine the Optimal Energy Management Strategy of Hybrid PV–Diesel Battery-Based Desalination System

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  • Hegazy Rezk

    (College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11911, Saudi Arabia
    Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61517, Egypt)

  • Basem Alamri

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Mokhtar Aly

    (Department of Electrical Engineering, Aswan University, Aswan 81542, Egypt
    Electronics Engineering Department, Universidad Tecnica Federico Santa Maria, Valparaiso 2390123, Chile)

  • Ahmed Fathy

    (Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka 72314, Saudi Arabia
    Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt)

  • Abdul G. Olabi

    (Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
    School of Engineering and Applied Science, Mechanical Engineering and Design, Aston University, Aston Triangle, Birmingham B4 7ET, UK)

  • Mohammad Ali Abdelkareem

    (Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
    Chemical Engineering Department, Faculty of Engineering, Minia University, Minia 61517, Egypt)

  • Hamdy A. Ziedan

    (Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71518, Egypt)

Abstract

This paper identifies the best energy management strategy of hybrid photovoltaic–diesel battery-based water desalination systems in isolated regions using technical, economic and techno–economic criteria. The employed procedures include Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as tools for the solution. Twelve alternatives, containing three–four energy management strategies; four energy management strategies, load following (LF), cycle charging (CC), combined LF–CC, and predictive strategy; and three different sizes of brackish water reverse osmosis (BWRO) water desalination units, BWRO-150, BWRO-250, and BWRO-500, are investigated with capacity of 150, 250, and 500 m 3 /day, respectively. Eight attributes comprising different technical and economic metrics are considered during the evaluation procedure. HOMER Pro ® software is utilized to perform the simulation and optimization. The main findings confirmed that the best energy management strategies are predictive strategies and the reverse osmosis (RO) unit’s optimal size is RO-250. For such an option, the annual operating cost and initial costs are $4590 and $78,435, respectively, whereas the cost of energy is $0.156/kWh. The excess energy and unmet loads are 27,532 kWh and 20.3 kWh, respectively. The breakeven grid extension distance and the amount of CO 2 are 6.02 km and 14,289 kg per year, respectively. Compared with CC–RO-150, the amount of CO 2 has been sharply decreased by 61.2%.

Suggested Citation

  • Hegazy Rezk & Basem Alamri & Mokhtar Aly & Ahmed Fathy & Abdul G. Olabi & Mohammad Ali Abdelkareem & Hamdy A. Ziedan, 2021. "Multicriteria Decision-Making to Determine the Optimal Energy Management Strategy of Hybrid PV–Diesel Battery-Based Desalination System," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4202-:d:533162
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    Cited by:

    1. Akbar Maleki & Zahra Eskandar Filabi & Mohammad Alhuyi Nazari, 2022. "Techno-Economic Analysis and Optimization of an Off-Grid Hybrid Photovoltaic–Diesel–Battery System: Effect of Solar Tracker," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    2. Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Niu, Xiaofeng & Zhang, Kai & Mahian, Omid, 2023. "Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions," Renewable Energy, Elsevier, vol. 212(C), pages 538-560.
    3. Enas Taha Sayed & Abdul Ghani Olabi & Abdul Hai Alami & Ali Radwan & Ayman Mdallal & Ahmed Rezk & Mohammad Ali Abdelkareem, 2023. "Renewable Energy and Energy Storage Systems," Energies, MDPI, vol. 16(3), pages 1-26, February.

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